Deep learning-driven sensing for sustainable Internet of Things - Lorenzo Calisti, Chiara Contoli, Emanuele Lattanzi; Sustainable Computing: Informatics and Systems, 2026

Teaching LLMs to Move: Generation of Human Activity Sensor Traces with BERT - Leonardo Bigelli, Alessandro Bogliolo, Lorenzo Calisti, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi; Proceedings of the 2025 9th International Conference on Advances in Artificial Intelligence, 2025

Inference-driven window sizing for enhanced human activity recognition in iot devices - Nicholas Kania, Chiara Contoli, Valerio Freschi, Emanuele Lattanzi; IEEE Access 13, 2025

IIoT portable laser line profilometer powered by AI for gap and flush measurement in automotive - Cristina Cristalli, Matteo Nisi, Paolo Chiariotti, Emanuele Lattanzi, Nicola Paone; IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), 2025

Temporal Distance Based Self-Supervised Learning for Human Activity Recognition - Leonardo Bigelli, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi; Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA), 2025

Balancing Accuracy and Energy: The Impact of Window Size on Sensor-Based Human Activity Recognition - Chiara Contoli, Susanna Peretti, Emanuele Lattanzi; IFIP International Conference on Artificial Intelligence Applications and Innovations, 2025

Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition? - Leonardo Bigelli, Alessandro Bogliolo, Lorenzo Calisti, Paolo Capellacci, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi; 10th International Conference on Machine Learning Technologies (ICMLT), 2025

Deep Learning-based Data Collection to Reduce Energy Consumption in Internet of Things Devices - Lorenzo Calisti, Emanuele Lattanzi; 10th International Conference on Machine Learning Technologies (ICMLT ), 2025

Semantic template recognition of human activities in wearable sensor data using siamese network - Emanuele Lattanzi, Chiara Contoli, Lorenzo Calisti, Giacomo Di Fabrizio, Nicholas Kania, Susanna Peretti; IEEE Access 13, 68245-68258, 2025

A Low-Cost IoT Sensor for Indoor Monitoring with Prediction-Based Data Collection - Paolo Capellacci, Lorenzo Calisti, Emanuele Lattanzi; International Journal of Advanced Computer Science & Applications 15 (11), 2024

Energy-aware human activity recognition for wearable devices: A comprehensive review - Chiara Contoli, Valerio Freschi, Emanuele Lattanzi; Pervasive and Mobile Computing 104, 101976, 2024

Are Transformers a useful tool for tiny devices in human activity recognition? - Emanuele Lattanzi, Lorenzo Calisti, Chiara Contoli; Proceedings of the 2024 8th International Conference on Advances in Artificial Intelligence, 2024

An experimental study on the energy efficiency of feature selection for human activity recognition with wrist-worn devices - Susanna Peretti, Chiara Contoli, Emanuele Lattanzi; International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2024

EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices - Lorenzo Calisti, Chiara Contoli, Giacomo Di Fabrizio, Nicholas Kania, Emanuele Lattanzi; Proceedings of the 2024 9th International Conference on Machine Learning Technologies,2024

A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing - Nicholas Kania, Alessandro Bogliolo, Lorenzo Calisti, Chiara Contoli, Giacomo Di Fabrizio, Luca Romanelli, Emanuele Lattanzi; IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2024

A power-aware vision-based virtual sensor for real-time edge computing - Chiara Contoli, Lorenzo Calisti, Giacomo Di Fabrizio, Nicholas Kania, Alessandro Bogliolo; Emanuele Lattanzi, Journal of Real-Time Image Processing, 2024

Real-time energy-efficient sensor libraries for wearable devices - Lorenzo Calisti, Emanuele Lattanzi; IEEE Access, 2024

Privacy preservation in sensor-based Human Activity Recognition through autoencoders for low-power IoT devices - Leonardo Bigelli, Chiara Contoli, Valerio Freschi, Emanuele Lattanzi; Internet of Things 2024

Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition - Emanuele Lattanzi, Lorenzo Calisti, Paolo Capellacci; Pervasive and Mobile Computing, 2023

A Study on the Energy Sustainability of Early Exit Networks for Human Activity Recognition - Emanuele Lattanzi, Chiara Contoli, Valerio Freschi; IEEE Transactions on Sustainable Computing, 2023

Energy Efficiency of Deep Learning Compression Techniques in Wearable Human Activity Recognition - Chiara Contoli e Emanuele Lattanzi; IFIP International Conference on Artificial Intelligence Applications and Innovations,  2023

A study on the application of TensorFlow compression techniques to Human Activity Recognition - Chiara Contoli e Emanuele Lattanzi, IEEE Access, 2023

Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition - Emanuele Lattanzi e Lorenzo Calisti, Proceedings of the 2023 8th International Conference on Machine Learning Technologies, 2023

Do we need early exit networks in human activity recognition? - Emanuele Lattanzi, Chiara Contoli, Valerio Freschi, Engineering Applications of Artificial Intelligence 121, 106035, 2023

A Machine Learning Enabled Hall-Effect IoT-System for Monitoring Building Vibrations - Emanuele Lattanzi, Paolo Capellacci, Valeerio Freschi, International Journal of Advanced Computer Science and Applications 14 (2), 2023

Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens - Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi, IEEE Access, vol. 10, pp. 83111-83124, 2022

Towards the InterPlanetary Health Layer for the Internet of Medical Things with Distributed Ledgers and Storages - Gioele Bigini, Emanuele Lattanzi, IEEE Access, vol. 10, pp. 82883-82895, 2022

Evaluation of a sampling approach for computationally efficient uncertainty quantification in regression learning models -  Valerio Freschi, Emanuele Lattanzi, Neural Computing and Applications, 1-11, 2022

Exploring Artificial Neural Networks Efficiency in Tiny Wearable Devices for Human Activity Recognition - Emanuele Lattanzi, Matteo Donati, Valerio Freschi, Sensors 22 (7), 2637, 2022

Machine learning techniques to identify unsafe driving behavior by means of in-vehicle sensor data, Emanuele Lattanzi, Valerio Freschi, Expert Systems with Applications 176,  14818, 2021

A Prim–Dijkstra Algorithm for Multihop Calibration of Networked Embedded Systems, Valerio Freschi, Emanuele Lattanzi, IEEE Internet of Things Journal 8 (14), 11320-11328, 2021

Improving Machine Learning Identification of Unsafe Driver Behavior by Means of Sensor Fusion, Emanuele Lattanzi, Giacomo Castellucci, Valerio Freschi, Applied Sciences 10 (18), 6417, 2022

Evaluation of human standing balance using wearable inertial sensors: a machine learning approach, Emanuele Lattanzi, Valerio Freschi, Engineering Applications of Artificial Intelligence 94, 103812, 2020

Standing balance assessment by measurement of body center of gravity using smartphones, Emanuele Lattanzi, Valerio Freschi, Saverio Delpriori, LC Klopfenstein, Alessandro Bogliolo, IEEE Access 8, 96438-96448, 2020

Experimental evaluation of the impact of packet length on wireless sensor networks subject to interference, Emanuele Lattanzi, Paolo Capellacci, Valerio Freschi, Computer Networks 167, 106986, 2020

On the Stability of a Hardware Compensation Mechanism for Embedded Energy Harvesting Emulators, Valerio Freschi, Emanuele Lattanzi, Computers 8 (4), 78, 2019

In-Band Controllable Radio Interference Generation for Wireless Sensor Networks, Emanuele Lattanzi, Valerio Freschi, IEEE Access 7, 66955-66963, 2019

A study on the impact of packet length on communication in low power wireless sensor networks under interference, Valerio Freschi, Emanuele Lattanzi, IEEE Internet of Things Journal 6 (2), 3820-3830, 2019

A Hardware Compensation Mechanism for Embedded Energy Harvesting Emulation, Emanuele Lattanzi, Valerio Freschi, IEEE Embedded Systems Letters 11 (1), 25-28, 2018

A scalable multitasking wireless sensor network testbed for monitoring indoor human comfort, Emanuele Lattanzi, Matteo Dromedari, Valerio Freschi, IEEE Access 6, 17952-17967, 2018

Monitoraggio ambientale e controllo degli accessi attraverso una semplice applicazione in ambito Internet of Things, Andrea Cogorno, Emanuele Lattanzi, 2022

4.0 Gym Prototype, Luca Cinti, Emanuele Lattanzi, 2022

ParkMe!: una soluzione IoT low cost di smart parking, Maiori Pio Mario Jonathan, Emanuele Lattanzi, 2022

Realizzazione di un sistema di monitoraggio e contabilizzazione del calore, Paride Dominici, Emanuele Lattanzi, 2022 

Smart Box IoT, Lorenzo Calisiti, Emanuele Lattanzi, 2022 

Reptile Sensors: monitoraggio di una teca per rettili, Gian Marco Di Francesco, Emanuele Lattanzi, 2022

Una stazione di monitoraggio ambientale per il rilevamento delle polveri sottili basata su ESP8266 e InfluxDB, Nicolò Tambone, Emanuele Lattanzi, 2022